NGC

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and Zotac NVIDIA GeForce GTX 1070 Ti 8GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009179-FI-NGC40795300&grr.

NGCProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 980GTX 970GTX 980 TiGTX 1070 TiAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GM204 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0)1.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GM200 HD AudioZotac NVIDIA GeForce GTX 1070 Ti 8GB (139/4006MHz)NVIDIA GP104 HD AudioOpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- GTX 980: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 970: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- GTX 980 Ti: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1070 Ti: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013OpenCL Details- GTX 980: GPU Compute Cores: 2048- GTX 970: GPU Compute Cores: 1664- GTX 980 Ti: GPU Compute Cores: 2816- GTX 1070 Ti: GPU Compute Cores: 2432Python Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

NGCblender: Barbershop - CUDAredshift: blender: Classroom - NVIDIA OptiXblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXgromacs-gpu: Water Benchmarkblender: BMW27 - NVIDIA OptiXlczero: OpenCLblender: Fishy Cat - NVIDIA OptiXblender: BMW27 - CUDAoctanebench: Total Scoreglmark2: 800 x 600glmark2: 3840 x 2160glmark2: 1280 x 1024glmark2: 1920 x 1080glmark2: 1600 x 1200glmark2: 1024 x 768glmark2: 2560 x 1440glmark2: 1920 x 1200fahbench: plaidml: No - Inference - DenseNet 201 - OpenCLnamd-cuda: ATPase Simulation - 327,506 Atomsplaidml: No - Training - Mobilenet - OpenCLclpeak: Double-Precision Doublecl-mem: Copyrodinia: OpenCL Particle Filtercl-mem: Readplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLcl-mem: Writemandelgpu: GPUviennacl: OpenCL LU Factorizationplaidml: Yes - Inference - Mobilenet - OpenCLclpeak: Integer Compute INTarrayfire: Conjugate Gradient OpenCLclpeak: Single-Precision Floatclpeak: Global Memory Bandwidthneatbench: GPUfinancebench: Black-Scholes OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti1415.171002423.50421.77328.65918.07858.553.288151.496275319.37165.20110.594254101.825782.060.3216380.43159.64145.011.729165.4228.97810.31157126002111.263.15671053.401303.294.8834448.81165.2317.212.0191540.951119481.80444.58351.061012.281031.903.001175.444862369.54173.0196.07286211325205770075601568891483805518590.943973.690.3516073.01137.81125.813.049144.6202.94717.50134.0112885853.758.6527909.501145.395.4033877.42144.5115.414.1981193.54764342.76354.53292.20780.37690.293.881123.078291258.49149.21143.0927391288629338967736374721125452936916115.487699.510.2818289.44196.28217.510.095266.0266.291030.27244.2152063380.564.93281281.971615.043.6235556.00264.3410.0613430.1425302435.50880.20931.550.958460.104631200.0424.87158888.370.33292104.88107.811.525178.6387.56875.35194.440.11341607.155.11579.121999OpenBenchmarking.org

Blender

Blend File: Barbershop - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDAGTX 980GTX 970GTX 980 TiGTX 1070 Ti7001400210028003500SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.91, N = 31415.171540.951193.543430.14

RedShift Demo

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0GTX 980GTX 970GTX 980 TiGTX 1070 Ti5001000150020002500SE +/- 1.76, N = 3SE +/- 2.19, N = 3SE +/- 2.40, N = 3SE +/- 371.60, N = 6100211197642530

Blender

Blend File: Classroom - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXGTX 980GTX 970GTX 980 TiGTX 1070 Ti5001000150020002500SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 241.03, N = 6423.50481.80342.762435.50

Blender

Blend File: Classroom - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDAGTX 980GTX 970GTX 980 TiGTX 1070 Ti2004006008001000SE +/- 0.35, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 92.48, N = 9421.77444.58354.53880.20

Blender

Blend File: Fishy Cat - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDAGTX 980GTX 970GTX 980 TiGTX 1070 Ti2004006008001000SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 107.89, N = 9328.65351.06292.20931.55

Blender

Blend File: Pabellon Barcelona - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDAGTX 980GTX 970GTX 980 Ti2004006008001000SE +/- 0.13, N = 3SE +/- 12.17, N = 3SE +/- 0.09, N = 3918.071012.28780.37

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 980GTX 970GTX 980 Ti2004006008001000SE +/- 0.33, N = 3SE +/- 0.90, N = 3SE +/- 0.36, N = 3858.551031.90690.29

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkGTX 980GTX 970GTX 980 TiGTX 1070 Ti0.87321.74642.61963.49284.366SE +/- 0.007, N = 3SE +/- 0.000, N = 3SE +/- 0.005, N = 3SE +/- 0.235, N = 93.2883.0013.8810.9581. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

Blender

Blend File: BMW27 - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXGTX 980GTX 970GTX 980 TiGTX 1070 Ti100200300400500SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 40.73, N = 9151.49175.44123.07460.10

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti2K4K6K8K10KSE +/- 37.68, N = 3SE +/- 41.16, N = 3SE +/- 4.91, N = 3SE +/- 984.05, N = 662754862829146311. (CXX) g++ options: -flto -pthread

Blender

Blend File: Fishy Cat - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 980GTX 970GTX 980 Ti80160240320400SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3319.37369.54258.49

Blender

Blend File: BMW27 - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDAGTX 980GTX 970GTX 980 TiGTX 1070 Ti4080120160200SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 7.36, N = 9165.20173.01149.21200.04

OctaneBench

Total Score

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreGTX 980GTX 970GTX 980 TiGTX 1070 Ti306090120150110.5996.07143.0924.87

GLmark2

Resolution: 800 x 600

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 800 x 600GTX 970GTX 980 Ti3K6K9K12K15K1132512886

GLmark2

Resolution: 3840 x 2160

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160GTX 970GTX 980 Ti600120018002400300020572933

GLmark2

Resolution: 1280 x 1024

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1280 x 1024GTX 970GTX 980 Ti2K4K6K8K10K70078967

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080GTX 970GTX 980 Ti1600320048006400800056017363

GLmark2

Resolution: 1600 x 1200

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1600 x 1200GTX 970GTX 980 Ti1600320048006400800056887472

GLmark2

Resolution: 1024 x 768

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1024 x 768GTX 970GTX 980 Ti2K4K6K8K10K914811254

GLmark2

Resolution: 2560 x 1440

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440GTX 970GTX 980 Ti1100220033004400550038055293

GLmark2

Resolution: 1920 x 1200

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200GTX 970GTX 980 Ti1500300045006000750051856916

FAHBench

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 980GTX 970GTX 980 Ti306090120150SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3101.8390.94115.49

PlaidML

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti20406080100SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 6.24, N = 1282.0673.6999.5188.37

NAMD CUDA

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsGTX 980GTX 970GTX 980 TiGTX 1070 Ti0.07910.15820.23730.31640.3955SE +/- 0.00070, N = 3SE +/- 0.00210, N = 3SE +/- 0.00249, N = 15SE +/- 0.01554, N = 150.321630.351600.281820.33292

PlaidML

FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti20406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 380.4373.0189.44104.88

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 980GTX 970GTX 980 Ti4080120160200SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3159.64137.81196.281. (CXX) g++ options: -O3 -rdynamic -lOpenCL

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 980GTX 970GTX 980 TiGTX 1070 Ti50100150200250SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 13.47, N = 12145.0125.8217.5107.81. (CC) gcc options: -O2 -flto -lOpenCL

Rodinia

Test: OpenCL Particle Filter

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 980GTX 970GTX 980 TiGTX 1070 Ti3691215SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 4SE +/- 1.42, N = 1211.7313.0510.1011.531. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 980GTX 970GTX 980 TiGTX 1070 Ti60120180240300SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 12.40, N = 12165.4144.6266.0178.61. (CC) gcc options: -O2 -flto -lOpenCL

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti80160240320400SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3228.97202.94266.29387.56

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti2004006008001000SE +/- 0.50, N = 3SE +/- 0.32, N = 3SE +/- 1.62, N = 3SE +/- 59.39, N = 12810.31717.501030.27875.35

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 980GTX 970GTX 980 TiGTX 1070 Ti50100150200250SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.92, N = 3157.0134.0244.2194.41. (CC) gcc options: -O2 -flto -lOpenCL

MandelGPU

OpenCL Device: GPU

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 980GTX 970GTX 980 Ti30M60M90M120M150MSE +/- 172505.04, N = 3SE +/- 116092.47, N = 3SE +/- 367945.59, N = 3126002111.2112885853.7152063380.51. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

ViennaCL

OpenCL LU Factorization

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 980GTX 970GTX 980 TiGTX 1070 Ti1428425670SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.45, N = 3SE +/- 5.70, N = 1563.1658.6564.9340.111. (CXX) g++ options: -rdynamic -lOpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti30060090012001500SE +/- 1.60, N = 3SE +/- 1.17, N = 3SE +/- 0.94, N = 3SE +/- 2.45, N = 31053.40909.501281.971607.15

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 980GTX 970GTX 980 Ti30060090012001500SE +/- 3.33, N = 3SE +/- 14.81, N = 5SE +/- 11.49, N = 31303.291145.391615.041. (CXX) g++ options: -O3 -rdynamic -lOpenCL

ArrayFire

Test: Conjugate Gradient OpenCL

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti1.21572.43143.64714.86286.0785SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.062, N = 34.8835.4033.6235.1151. (CXX) g++ options: -rdynamic

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 980GTX 970GTX 980 Ti12002400360048006000SE +/- 67.71, N = 3SE +/- 43.66, N = 15SE +/- 20.25, N = 34448.813877.425556.001. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 980GTX 970GTX 980 Ti60120180240300SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.41, N = 3165.23144.51264.341. (CXX) g++ options: -O3 -rdynamic -lOpenCL

NeatBench

Acceleration: GPU

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUGTX 980GTX 97048121620SE +/- 0.12, N = 3SE +/- 0.00, N = 317.215.4

FinanceBench

Benchmark: Black-Scholes OpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGTX 980GTX 970GTX 980 TiGTX 1070 Ti20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.44, N = 312.0214.2010.0679.121. (CXX) g++ options: -O3 -lOpenCL


Phoronix Test Suite v10.8.4